About The Position

Leads the vision, strategy, roadmap, and delivery of AI-enabled content creation and Medical, Legal and Regulatory (MLR) review products within Marketing AI, managing a team of 5+ AI product managers. This global role works with stakeholders and markets in the United States and internationally. The role partners across business, product, CMO, AI engineering, data, and MLR teams to deliver scalable, governed products that improve how marketing content is created, reviewed, and reused. The role owns a cohesive portfolio of AI content and MLR products, translating business needs into prioritized requirements, roadmaps, and measurable outcomes. It balances near-term delivery with long-term platform investment and partners with cross-functional teams from discovery through scale. It applies generative AI, agentic workflows, retrieval-augmented generation (RAG), and automation across the content lifecycle, grounding model outputs in governed source content, business rules, and guardrails. The position leads and develops AI product management and operations teams, aligns US and international commercial groups around shared priorities and roadmaps, and adapts solutions to local requirements while maximizing reuse of global capabilities. Success measures include adoption, cycle time, and business impact. The role is hybrid, requiring onsite work 2 to 3 days per week, and travel based on business needs. The annual base salary range is $214,900 to $358,100, with eligibility for a performance bonus and share-based long-term incentives. Pfizer offers comprehensive benefits, including a 401(k) plan with matching and retirement contributions, paid vacation and holidays, personal days, paid caregiver/parental and medical leave, and medical, prescription drug, dental, and vision coverage.

Requirements

  • Bachelor of Arts or Bachelor of Science degree required.
  • 12+ years of experience leading cross-functional commercial projects; graduate degrees may substitute for experience.
  • Understanding of AI and machine learning frameworks and libraries.
  • Experience leading teams.
  • Ability to lead and inspire a team, fostering collaboration and innovation.
  • Strong project management skills, including planning, executing, and delivering projects on time.
  • Excellent communication skills to articulate complex technical concepts to non-technical stakeholders.
  • Strategic thinking to align AI initiatives with business goals and industry trends.
  • Strong executive communication and cross-functional influence.
  • Creativity to innovate and find novel solutions to problems.
  • Understanding of ethical considerations and biases in AI, and commitment to developing responsible AI systems.
  • Awareness of privacy and security issues related to AI and data handling.
  • Understanding of marketing, brand management, and commercial analytics.
  • Experience in regulated or highly governed environments.
  • Experience working across global and regional teams and stakeholders.
  • Demonstrated breadth of leadership capabilities, including influencing and collaborating with peers, developing and coaching others, and guiding colleagues' work to achieve meaningful outcomes and business impact.
  • Permanent work authorization in the United States; employment visa sponsorship is not available.

Nice To Haves

  • Experience with cloud platforms and tools for deploying AI models, such as AWS, Google Cloud, or Azure.
  • Experience in AI development, including hands-on experience designing, training, and deploying AI models.

Responsibilities

  • Own the product vision, strategy, and roadmap for AI-enabled content and MLR products.
  • Build a cohesive product portfolio rather than disconnected point solutions.
  • Create AI products for power users that bring end-to-end content best practices together under a clear AI product strategy.
  • Consolidate best-in-class capabilities into reusable end-to-end AI content products, agent instructions, and services.
  • Manage a team that translates business needs and product strategy into prioritized requirements, roadmaps, and measurable outcomes.
  • Balance near-term delivery with long-term platform investment.
  • Partner with cross-functional teams from discovery through scale, and define clear product boundaries, dependencies, and ownership.
  • Partner with teams to apply generative AI, agentic workflows, RAG, and automation across the content lifecycle.
  • Manage a cross-functional product team to ground model outputs in governed source content, business rules, and guardrails.
  • Evaluate emerging AI approaches for quality, context, scalability, and responsible use; stay current on frontier models and apply best practices in product application, evaluation, prompting, and deployment.
  • Lead AI product management and AI product operations teams to scale, industrialize, and commercialize content and MLR AI products.
  • Grow, mentor, and coach AI product teams, and direct team capability development and growth plans as AI transformation evolves.
  • Align cross-functional groups in US and international commercial teams around shared priorities, visions, and roadmaps.
  • Lead across US and international markets, adapting solutions to local requirements while maximizing reuse of global capabilities.
  • Set success measures tied to adoption, cycle time, and business impact; use user feedback and product performance to refine the roadmap.
  • Scale solutions across brands, markets, and content types.
  • Travel based on business needs.

Benefits

  • 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution.
  • Paid vacation, holidays, and personal days.
  • Paid caregiver/parental and medical leave.
  • Medical, prescription drug, dental, and vision coverage.
  • Eligibility to participate in Pfizer’s Global Performance Plan, with a bonus target of 22.5% of base salary.
  • Eligibility to participate in a share-based long-term incentive program.
  • Relocation assistance may be available based on business needs and/or eligibility.
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